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The BBSR includes 26 staff with expertise in biostatistics, bioinformatics, and informatics, providing collaborative support to cancer center researchers across the five Research Programs of Cancer Biology and Evolution, Cancer Epidemiology, Health Outcomes and Behavior, Immuno-Oncology, and Molecular Medicine.
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Ph. D. degree in Biostatistics, Epidemiology, Computational Biology, Bioinformatics, Genetics/Genomics or related field. Associate Professor of Medicine and Biostatistics. Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.
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Bachelor’s degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, or other relevant statistical or social science field. Master’s degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, Data Sciences, or other relevant statistical or social science field.
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The Platform fully centralizes RWE, epidemiology, outcomes research, RW-relevant health informatics, and biostatistics talent from global, international developed market (IDM) and emerging markets (EM) into one team to drive efficiency through internalized work.
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The Biostatistician will apply biostatistics and statistics to the design, execution, analysis, and interpretation of clinical research results and associated mechanistic studies. Biostatistician II: Requires a degree in biostatistics, healthcare statistics, or other life science with a strong understanding of the principals of biostatistics, and 3 to 5 or years related experience or equivalent combination of education and experience post bachelors degree.
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Required: Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.
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Ph. D. degree in Biostatistics, Epidemiology, Computational Biology, Bioinformatics, Genetics/Genomics or related field or M.D. degree. Ph. D. degree in Biostatistics, Epidemiology, Computational Biology, Bioinformatics, Genetics/Genomics or related field or M.D. degree.
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Lead and manage external (and/or internal) biostatistics and statistical programming resources supporting studies and programs. He/She is also accountable for the production of biostatistics deliverables by providing oversight of the work performed by CROs, managing external (and/or internal) biostatistics and statistical programming resources, or performing the work themselves.
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PhD degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) with six or more years relevant work experience required. Master’s degree (in Bioinformatics, Biostatistics, Computer Science, Applied Mathematics or a related field) with eight or more years relevant work experience required.
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The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children's Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research.
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The Department of Epidemiology & Biostatistics at the University of California, Irvine, is searching for multiple postdoctoral scholars to work on the precision medicine and NIH brain mapping project.
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Outside of the Platform, the Head will work with leaders from Biostatistics & Data Management, Global Regulatory Affairs, Clinical Pharmacology / Pharmacometrics, HEOR, Legal/Compliance, and others to achieve research and business objectives.
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Collaborates with RWE Platforms and Partnerships colleagues, EvGen Strategic Planning Innovation, Biostatistics, Statistical Programming and Digital to identify and fill RWD gaps using fit-for-purpose sources worldwide, incorporate advanced analytical and machine learning approaches, and scale innovations across category teams.
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Biostatistics, Bioinformatics and Computational Biology. BA/BS degree in Epidemiology, Statistics, Biostatistics, Metrics & Evaluation, Pharmacy, Global Health, or a related field. Familiarity with data warehouses such as Databricks, Snowflake, etc.
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In this role, you will work closely with Global Patient Safety and Risk Management (GPSRM), Medical Affairs, Value Evidence and Strategy (VEST), Biostatistics, Clinical Research and Regulatory Affairs to inform clinical development and real-world outcomes and answer product- and disease-area research questions for Alnylam RNAi therapeutics using observational studies and real-world evidence.
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